| _ | kidney | _ |
|---|
| 3D Fast Automatic Segmentation of | kidney | Based on Modified AAM and Random Forest |
| 3DSN-Net: A 3-D Scale-Aware convNet With Nonlocal Context Guidance for | kidney | and Tumor Segmentation From CT Volumes |
| Adaptive window-based tracking for the detection of membrane structures in | kidney | electron micrographs |
| ATD: A Multiplatform for Semiautomatic 3-D Detection of | kidney | s and Their Pathology in Real Time |
| Automated System for the Detection and Diagnosis of | kidney | Lesions in Children from Scintigraphy Images, An |
| automatic feature selection and classification framework for analyzing ultrasound | kidney | images using dragonfly algorithm and random forest classifier, An |
| Automatic fine-grained glomerular lesion recognition in | kidney | pathology |
| Automatic regions of interest identification and classification in CT images: Application to | kidney | cysts |
| Automatic Segmentation of | kidney | and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module |
| Cascaded Regression Neural Nets for | kidney | Localization and Segmentation-free Volume Estimation |
| Crossbar-Net: A Novel Convolutional Neural Network for | kidney | Tumor Segmentation in CT Images |
| Deep Learning Global Glomerulosclerosis in Transplant | kidney | Frozen Sections |
| Deep Prototypical-Parts Ease Morphological | kidney | Stone Identification and are Competitively Robust to Photometric Perturbations |
| Efficacy of Pearson distributions for characterization of gray levels in clinical ultrasound | kidney | images |
| Efficient classification of chronic | kidney | disease by using multi-kernel support vector machine and fruit fly optimization algorithm |
| Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on | kidney | Histology |
| intelligent IoT with cloud centric medical decision support system for chronic | kidney | disease prediction, An |
| kidney | Disease, Tomography, CAT Analysis, Other Methods |
| kidney | Glomerulus Observation in Interactive VR Space |
| kidney | image classification using transfer learning with convolutional neural network |
| kidney | segmentation approach from DCE-MRI using level sets, A |
| kidney | segmentation using 3D U-Net localized with Expectation Maximization |
| kidney | segmentation using graph cuts and pixel connectivity |
| level set-based framework for 3D | kidney | segmentation from diffusion MR images, A |
| Multiple Imputation by Chained Equations: K-Nearest Neighbors and Deep Neural Network Architecture for | kidney | Disease Prediction |
| new deformable model for analysis of X-ray CT images in preclinical studies of mice for polycystic | kidney | disease, A |
| new deformable model-based segmentation approach for accurate extraction of the | kidney | from abdominal CT images, A |
| Organ Detection in Abdominal Computerized Tomography Scans: Application to the | kidney | |
| Phase based distance regularized level set for the segmentation of ultrasound | kidney | images |
| Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic | kidney | Parenchyma Volumetry |
| Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the | kidney | , A |
| random forest-based framework for 3D | kidney | segmentation from dynamic contrast-enhanced CT images, A |
| Recognition of | kidney | Glomerulus by Dynamic Programming Matching Method |
| Segmentation of | kidney | by Using a Deformable Model |
| Segmentation of | kidney | Cortex in MRI Studies using a Constrained Morphological 3D H-maxima Transform |
| Segmentation of | kidney | from ultrasound images based on texture and shape priors |
| Segmentation of | kidney | s from computed tomography using 3D fast GrowCut algorithm |
| Segmentation-Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving | kidney | s |
| Segmentation-Free Estimation of | kidney | Volumes in CT with Dual Regression Forests |
| Segmenting | kidney | on Multiple Phase CT Images using ULBNet |
| Shape-Based Registration of | kidney | s Across Differently Contrasted CT Scans |
| Speckle noise suppression in 2D ultrasound | kidney | images using local pattern based topological derivative |
| Statistical Approach for Automatic | kidney | s Detection, A |
| Texture pattern analysis of | kidney | tissues for disorder identification and classification using dominant Gabor wavelet |
| Tracking | kidney | tumor dimensional measurements via image morphing |
| Ultrasound | kidney | segmentation with a global prior shape |
| Using a 3D Position Sensor for Registration of Spect and US Images of the | kidney | |
| Using Machine Learning to Refer Patients with Chronic | kidney | Disease to Secondary Care |
48 for kidney